| Graph Q-Learning for Combinatorial Optimization | Jan 11, 2024 | Combinatorial OptimizationDecision Making | —Unverified | 0 |
| On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond | Jan 6, 2024 | Decision MakingDiversity | —Unverified | 0 |
| Decision Making in Non-Stationary Environments with Policy-Augmented Search | Jan 6, 2024 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 0 |
| Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach | Jan 4, 2024 | Decision MakingImitation Learning | —Unverified | 0 |
| Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes | Jan 3, 2024 | Decision MakingHeuristic Search | CodeCode Available | 0 |
| Harnessing the Power of Federated Learning in Federated Contextual Bandits | Dec 26, 2023 | Decision MakingFederated Learning | CodeCode Available | 0 |
| Solving Long-run Average Reward Robust MDPs via Stochastic Games | Dec 21, 2023 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 0 |
| Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing | Dec 21, 2023 | Decision MakingSequential Decision Making | CodeCode Available | 0 |
| Parameterized Projected Bellman Operator | Dec 20, 2023 | Decision MakingReinforcement Learning (RL) | CodeCode Available | 0 |
| Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs | Dec 18, 2023 | Decision MakingKnowledge Graphs | CodeCode Available | 0 |
